MmPalateMiRNA

MmPalateMiRNA analyzes murine palate two-color miRNA microarray expression data in R/Bioconductor to provide normalization, quality control, differential expression, clustering, miRNA target identification, visualization, and gene set enrichment analyses for studies of miRNA-mediated regulation.

Key Features:

• Data Analysis Framework: Provides an analysis framework implemented in R and distributed via Bioconductor for murine palate two-color miRNA microarray data.
• Experimental Reproducibility: Includes all experimental data and source code necessary to reproduce the analyses described in its publication.
• Visualization: Offers functions to visualize miRNA expression patterns from two-color microarrays.
• Normalization and Quality Checking: Implements normalization and quality-control procedures tailored to miRNA microarray data.
• Differential Expression Analysis: Performs differential expression analysis to identify miRNAs with significant changes between conditions.
• Cluster Analysis: Supports clustering of miRNAs based on expression profiles.
• miRNA Target Identification: Provides methods to predict potential target genes regulated by specific miRNAs.
• Gene Set Enrichment Analysis: Enables gene set enrichment analysis to identify pathways associated with differentially expressed miRNAs.

Scientific Applications:

• Developmental miRNA Regulation: Investigating miRNA-mediated regulatory mechanisms in cell and tissue differentiation of the murine palate.
• Genome-level Expression Analysis: Analyzing genome-level patterns of miRNA activation and inhibition from two-color microarray data.
• Gene Regulatory Network Studies: Supporting basic and advanced studies of gene regulatory networks involving miRNAs.

Methodology:

Implements normalization and quality-control for two-color miRNA microarray data, differential expression testing, clustering, miRNA target prediction, visualization, and gene set enrichment analysis within R/Bioconductor; includes experimental data and source code for reproducibility.